基于自动化巡检的智能辅助决策系统
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摘要
随着电力信息系统业务量的增加,服务器常年满负荷运转,故障频发,运行压力不断增大。而大数据、自动化技术的蓬勃发展为自动化运维、机器人自动化巡检、减少故障提供了可能。文章运用大数据、自动化技术,将日常巡检做到自动化、精细化、智能化,避免服务器故障对核心业务系统使用造成影响,提高防灾减灾能力。
With the increase of system businesses,the server is running at full capacity all the year round,the faults are frequent,and the operating pressure is increasing.With the vigorous development of big data and automation technology,it is possible for the automate operation and maintenance,robot automatic inspection and reducing faults.This paper uses big data and automation technology to automate,refine and intelligentize daily inspections,avoiding the impact of server failures on the use of core business systems and improving disaster prevention and mitigation capabilities.
With the increase of system businesses,the server is running at full capacity all the year round,the faults are frequent,and the operating pressure is increasing.With the vigorous development of big data and automation technology,it is possible for the automate operation and maintenance,robot automatic inspection and reducing faults.This paper uses big data and automation technology to automate,refine and intelligentize daily inspections,avoiding the impact of server failures on the use of core business systems and improving disaster prevention and mitigation capabilities.
引文
[1]郝善勇.智能辅助决策技术研究[D].北京:北京理工大学,2000.
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[12]路文梅,杜振云,李燕,等.干式变压器线圈材质智能综合检测系统[J].广东电力,2018,31(10):82-87.LU Wenmei,DU Zhenyun,LI Yan,et al.Intelligent comprehensive detecting system for dry transformer coil materials[J].Guangdong Electric Power,2018,31(10):82-87.
[13]冯月霞,樊志强.智能巡检系统提升网络运维自动化水平的研究[J].移动通信,2015,43(14):54-57.FENG Yuexia,FAN Zhiqiang.Research on improving the level of network operation and maintenance automation by intelligent inspection system[J].Mobile Communications,2015,43(14):54-57.
[14]殷鸿雁,裴钰,胡可新.自动化运维智能巡检与综合告警系统的开发与应用[J].通讯世界,2015,22(15):178-179.
[15]蔡自兴.中国的智能机器人研究[J].莆田学院学报,2002,9(3):36-39.CAI Zixing.Research on intelligent robots in China[J].Journal of Putian University,2002,9(3):36-39.
[16]吴文豪.自动化运维软件设计实战[M].北京:电子工业出版社,2015.
[17]姜成志,叶明凤,顾泽元.基于决策树学习的智能机器人控制方法[J].计算机工程与设计,2002,23(10):24-26.JIANG Chengzhi,YE Mingfeng,GU Zeyuan.Intelligent robot control method based on decision tree learning[J].Computer Engineering and Design,2002,23(10):24-26.
[18]易琳,秦晓科,王刚,等.基于改进蚁群算法的电力巡检路径规划[J].广东电力,2018,31(3):115-119.YI Lin,QIN Xiaoke,WANG Gang,et al.Path planning for electric power patrol based on improved ant colony algorithms[J].Guangdong Electric Power,2018,31(3):115-119.
[2]王喜,赵宵凯,熊斌宇.一种基于数据挖掘技术的智能变电站故障诊断方法[J].智慧电力,2018,46(4):39-43.WANG Xi,ZHAO Xiaokai,XIONG Binyu.Intelligent substation fault diagnosis method based on data mining technology[J].Smart Power,2018,46(4):39-43.
[3]张成巍,岳湘.智能巡检机器人研究现状与发展趋势[J].电工文摘,2015,35(1):9-12.ZHANG Chengwei,YUE Xiang.Research status and development trend of intelligent patrol robot[J].Transactions of Electrical Engineering,2015,35(1):9-12.
[4]龚勤慧.变电站智能巡检机器人研究综述[J].泸州职业技术学院学报,2015,30(2):56-61.GONG Qinhui.Review of research on intelligent inspection robots in substation[J].Journal of Luzhou Vocational and Technical College,2015,30(2):56-61.
[5]张伟,龚娇龙,张惠芳,等.基于视觉导航的变电站智能巡检机器人的研究[J].陕西电力,2015,43(6):63-66.ZHANG Wei,GONG Jiaolong,ZHANG Huifang,et al.Research on substation intelligent inspection robot based on visual navigation[J].Shaanxi Electric Power,2015,43(6):63-66.
[6]刘洪波,孔祥靖,王之一,等.信息系统自动化巡检平台研究与应用[J].电力信息与通信技术,2016,14(12):117-120.LIU Hongbo,KONG Xiangjing,WANG Zhiyi,et al.Research and application of information system automation inspection platform[J].Electric Power Information and Communication Technology,2016,14(12):117-120.
[7]史策.数据采集和智能数据处理系统的设计[J].电子设计工程,2018,26(16):45-48,53.SHI Ce.Design of data acquisition and intelligent data processing system[J].Electronic Design Engineering,2018,26(16):45-48,53.
[8]刘思尧.基于ZABBIX的自动化巡检系统的研究与实现[J].电力信息与通信技术,2014,12(12):111-115.LIU Siyao.Research and implementation of automated inspection system based on ZABBIX[J].Electric Power Information and Communication Technology,2014,12(12):111-115.
[9]赵春雷,孙利强,高翔,等.基于源端数据维护机制的保护智能运维技术探讨[J].电网与清洁能源,2017,33(9):78-83.ZHAO Chunlei,SUN Liqiang,GAO Xiang,et al.Discussions on smart maintenance technology of smart substations based on source data maintenance[J].Power System and Clean Energy,2017,33(9):78-83.
[10]湛锋,刘德贺,文沛,等.异构主备智能调度系统运行和维护同步研究[J].广东电力,2018,31(5):88-93.ZHAN Feng,LIU Dehe,WEN Pei,et al.Research on synchronization of operation and maintenance of heterogeneous active-standby intelligent dispatching system[J].Guangdong Electric Power,2018,31(5):88-93.
[11]王立娟.变配电站智能化电力监控系统的设计与应用[J].机电工程技术,2007,36(4):38-40.WANG Lijuan.Design and application of intelligent power monitoring system for variable distribution power station[J].Mechanical&Electrical Engineering Technology,2007,36(4):38-40.
[12]路文梅,杜振云,李燕,等.干式变压器线圈材质智能综合检测系统[J].广东电力,2018,31(10):82-87.LU Wenmei,DU Zhenyun,LI Yan,et al.Intelligent comprehensive detecting system for dry transformer coil materials[J].Guangdong Electric Power,2018,31(10):82-87.
[13]冯月霞,樊志强.智能巡检系统提升网络运维自动化水平的研究[J].移动通信,2015,43(14):54-57.FENG Yuexia,FAN Zhiqiang.Research on improving the level of network operation and maintenance automation by intelligent inspection system[J].Mobile Communications,2015,43(14):54-57.
[14]殷鸿雁,裴钰,胡可新.自动化运维智能巡检与综合告警系统的开发与应用[J].通讯世界,2015,22(15):178-179.
[15]蔡自兴.中国的智能机器人研究[J].莆田学院学报,2002,9(3):36-39.CAI Zixing.Research on intelligent robots in China[J].Journal of Putian University,2002,9(3):36-39.
[16]吴文豪.自动化运维软件设计实战[M].北京:电子工业出版社,2015.
[17]姜成志,叶明凤,顾泽元.基于决策树学习的智能机器人控制方法[J].计算机工程与设计,2002,23(10):24-26.JIANG Chengzhi,YE Mingfeng,GU Zeyuan.Intelligent robot control method based on decision tree learning[J].Computer Engineering and Design,2002,23(10):24-26.
[18]易琳,秦晓科,王刚,等.基于改进蚁群算法的电力巡检路径规划[J].广东电力,2018,31(3):115-119.YI Lin,QIN Xiaoke,WANG Gang,et al.Path planning for electric power patrol based on improved ant colony algorithms[J].Guangdong Electric Power,2018,31(3):115-119.